Deep Learning

Distributed Deep Learning

Data Parallelism VS Model Parallelism: Link Federated Learning Swarm Learning for decentralized and confidential clinical machine learning – Link AI with swarm intelligence to analyse medical data – Link

Multimodal Deep Learning

MIT 6.S191 Lecture 5 Multimodal Deep Learning – Link What nobody tells you about MULTIMODAL Machine Learning! 🙊 THE definition. – Link Deep Audio-Visual Speech Recognition by Triantafyllos Afouras et. al. – Link

Deep Reinforcement Learning

Deep Reinforcement Learning for Autonomous Driving by Sen Wang et. al. – Link Neural Architecture Search with Reinforcement Learning by Barret Zoph et. al. – Link Deep Reinforcement Learning that Matters by Peter Henderson et. al. – Link https://gym.openai.com/ Reinforcement Learning (DQN) Tutorial – Link A friendly introduction to deep reinforcement learning, Q-networks and policy …

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Contrastive Learning

Contrastive Representation Learning by Lilian Weng – Link Understanding Contrastive Learning (Learn how to learn without labels using self-supervised learning) – Link Supervised Contrastive Learning by Prannay Khosla et. al @NeurIPS 2020 – Link Extending Contrastive Learning to the Supervised Setting by AJ Maschinot et. al. – Link

Domain Randomization

Domain Randomization: future of robust modeling by Urwa Muaz Invariance, Causality, and Robust Deep Learning – Why do Neural networks fail to generalize to new environments, and how can this be fixed? by by Urwa Muaz

Chromosome Segmentation in Pytorch using U-Net Architecture

Details about the usecase can be studied from the references given below in the references section. Following is the source code. The code was run on Google Colab. Imports & Utilities Importing the Libraries Following is the code to set device based on the type of machine (CPU or GPU). Following is the code for …

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Must Read Papers

Neural Architecture Search Neural Architecture Search: A Survey – Thomas Elsken Literature on Neural Architecture Search Transfer Learning & Domain Adaptation Model Compression – Cristian Bucila˘ et. al. – KDD 2006 A Survey on Transfer Learning – Sinno Jialin Pan, et. al. – 2010 Unbiased look at dataset bias – Antonio Torralba et. al. – …

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